---
title: "FEVER 2021 — accepted papers — Elamur Research"
description: "FEVER 2021 — accepted papers: 1 paper in the Elamur Research library (Dominican Republic), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/fever/2021/"
---
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[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [FEVER](https://md.research.elamur.ai/free/en/venues/fever/) / 2021

# FEVER 2021 — accepted papers

FEVER 2021 is the 2021 edition of the Workshop on Fact Extraction and VERification (FEVER), held in Dominican Republic, November 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 13 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**13** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/fever/2021/#works) · [**178** citations of these works](https://md.research.elamur.ai/free/en/venues/fever/2021/#works)**Dominican Republic** where it was held**November 2021** when

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task](https://md.research.elamur.ai/free/en/papers/aly-2021-fact-extraction-verification-over-unstructured/)**Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull et al.*100 citations · our summary*
2. **[Evidence Selection as a Token-Level Prediction Task ↗](https://aclanthology.org/2021.fever-1.2/)**Dominik Stammbach*17 citations*
3. **[FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German ↗](https://aclanthology.org/2021.fever-1.9/)**Justus Mattern, Yu Qiao, Elma Kerz et al.*14 citations*
4. **[Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task ↗](https://aclanthology.org/2021.fever-1.12/)**Mohammed Saeed, Giulio Alfarano, Khai Nguyen et al.*14 citations*
5. **[FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information ↗](https://aclanthology.org/2021.fever-1.4/)**Mostafa Bouziane, Hugo Perrin, Amine Sadeq et al.*11 citations*
6. **[Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit ↗](https://aclanthology.org/2021.fever-1.5/)**Christopher Malon*11 citations*
7. **[Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification ↗](https://aclanthology.org/2021.fever-1.3/)**Neema Kotonya, Thomas Spooner, Daniele Magazzeni et al.*10 citations*
8. **[Verdict Inference with Claim and Retrieved Elements Using RoBERTa ↗](https://aclanthology.org/2021.fever-1.7/)**In-Zu Gi, Ting-Yu Fang, Richard Tzong-Han Tsai*10 citations*
9. **[Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ↗](https://aclanthology.org/2021.fever-1.11/)**Aalok Sathe, Joonsuk Park*4 citations*
10. **[Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ↗](https://aclanthology.org/2021.fever-1.10/)**Martin Funkquist*4 citations*

## All accepted papers (13)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task](https://md.research.elamur.ai/free/en/papers/aly-2021-fact-extraction-verification-over-unstructured/)**Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull et al.*100 citations · our summary*
2. **[Evidence Selection as a Token-Level Prediction Task ↗](https://aclanthology.org/2021.fever-1.2/)**Dominik Stammbach*17 citations*
3. **[FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German ↗](https://aclanthology.org/2021.fever-1.9/)**Justus Mattern, Yu Qiao, Elma Kerz et al.*14 citations*
4. **[Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task ↗](https://aclanthology.org/2021.fever-1.12/)**Mohammed Saeed, Giulio Alfarano, Khai Nguyen et al.*14 citations*
5. **[FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information ↗](https://aclanthology.org/2021.fever-1.4/)**Mostafa Bouziane, Hugo Perrin, Amine Sadeq et al.*11 citations*
6. **[Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit ↗](https://aclanthology.org/2021.fever-1.5/)**Christopher Malon*11 citations*
7. **[Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification ↗](https://aclanthology.org/2021.fever-1.3/)**Neema Kotonya, Thomas Spooner, Daniele Magazzeni et al.*10 citations*
8. **[Verdict Inference with Claim and Retrieved Elements Using RoBERTa ↗](https://aclanthology.org/2021.fever-1.7/)**In-Zu Gi, Ting-Yu Fang, Richard Tzong-Han Tsai*10 citations*
9. **[Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ↗](https://aclanthology.org/2021.fever-1.11/)**Aalok Sathe, Joonsuk Park*4 citations*
10. **[Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ↗](https://aclanthology.org/2021.fever-1.10/)**Martin Funkquist*4 citations*
11. **[Stance Detection in German News Articles ↗](https://aclanthology.org/2021.fever-1.8/)**Laura Mascarell, Tatyana Ruzsics, Christian Schneebeli et al.*4 citations*
12. **[Modeling Entity Knowledge for Fact Verification ↗](https://aclanthology.org/2021.fever-1.6/)**Yang Liu, Chenguang Zhu, Michael Zeng*3 citations*
13. **[A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach ↗](https://aclanthology.org/2021.fever-1.13/)**Orkun Temiz, Özgün Ozan Kılıç, Arif Ozan Kızıldağ et al.*2 citations*

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task](https://md.research.elamur.ai/free/en/papers/aly-2021-fact-extraction-verification-over-unstructured/) [Workshop on Fact Extraction and VERification (FEVER)](https://md.research.elamur.ai/free/en/venues/fever/)**Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, et al.*2021 · 178 citations*

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Andreas Vlachos**1 work here · 178 citations](https://md.research.elamur.ai/free/en/authors/andreas-vlachos/) · [🧑‍🔬**Arpit Mittal**1 work here · 178 citations](https://md.research.elamur.ai/free/en/authors/arpit-mittal/) · [🧑‍🔬**Christos Christodoulopoulos**1 work here · 178 citations](https://md.research.elamur.ai/free/en/authors/christos-christodoulopoulos/) · [🧑‍🔬**James Thorne**1 work here · 178 citations](https://md.research.elamur.ai/free/en/authors/james-thorne/) · [🧑‍🔬**Michael Schlichtkrull**1 work here · 178 citations](https://md.research.elamur.ai/free/en/authors/michael-schlichtkrull/) · [🧑‍🔬**Oana Cocarascu**1 work here · 178 citations](https://md.research.elamur.ai/free/en/authors/oana-cocarascu/) · [🧑‍🔬**Zhijiang Guo**1 work here · 178 citations](https://md.research.elamur.ai/free/en/authors/zhijiang-guo/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**King's College London** London · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/king-s-college-london/) · [🎓**University of Cambridge** Cambridge · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous FEVER 2018](https://md.research.elamur.ai/free/en/venues/fever/2018/)
- [↑ back to FEVER](https://md.research.elamur.ai/free/en/venues/fever/)
